Urban areas are increasingly vulnerable to climate-related risks such as extreme heat, flooding, drought, and compound ...

Table 1 An examination of the kinds of scientific tools and data types that are necessary for monitoring and evaluation of progress towards goals A and B and associated milestones delineated by the ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...

Recently, convolutional neural networks (CNNs) and Transformer-based Networks have exhibited remarkable prowess in the realm of remote sensing image super-resolution (RSISR), delivering promising ...

Fiber-optic spectroscopy leverages light-guiding technology for remote sensing, offering a robust solution for real-time data ...

A team of CU Boulder researchers has introduced a quantum sensing technique that could lead to improvements in how we monitor infrastructure, detect changes in the environment and conduct geophysical ...

In emergencies, scarce data delays decisions. Remote sensing — radar, thermal, and vision — assesses patients at a distance, ...